What youll be doing
Architect, design, test, implement, deploy, monitor and maintain end-to-end AIML services. (Own complete modules/features end-to-end )You build it, you own it
Work with people from other teams and departments on a day to day basis to ensure effective project execution with a focus on delivering value to our members.
Regularly aligning your team vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives.
Integrate already trained ML and GenAI models (preferably GCP) in services.

What youll need
Overall 5+ experience in ML engineering.
Dedicated 2+ years of proven work experience as a AI/ML/LLM Engineer.
Understanding of AIML Gen AI software engineering fundamentals (LLM, prompts, context, inference, etc.).
Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn, Langchain/LLamaIndex etc.
Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras,



being proficient in Python
Hands-on experience with frameworks such as Django or FastAPI or Flask
Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)
Extensive experience integrating with or creating AI/ML/LLM based modules.
Experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
Experience with event-driven architectures like Kafka, RabbitMq or equivalents.
Deep knowledge about
LLMs
Vector stores/databases
Prompt/Context Engineering
Embeddings and their implementations
KV Caching
Experience with GCP/AWS services.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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